Folgen
Olivier Canévet
Olivier Canévet
Bestätigte E-Mail-Adresse bei idiap.ch - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Efficient convolutional neural networks for depth-based multi-person pose estimation
A Martínez-González, M Villamizar, O Canévet, JM Odobez
IEEE Transactions on Circuits and Systems for Video Technology 30 (11), 4207 …, 2019
472019
Efficient sample mining for object detection
O Canévet, F Fleuret
Asian Conference on Machine Learning, 48-63, 2015
412015
Mummer: Socially intelligent human-robot interaction in public spaces
ME Foster, B Craenen, A Deshmukh, O Lemon, E Bastianelli, C Dondrup, ...
arXiv preprint arXiv:1909.06749, 2019
342019
Real-time convolutional networks for depth-based human pose estimation
A Martínez-González, M Villamizar, O Canévet, JM Odobez
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
322018
Importance sampling tree for large-scale empirical expectation
O Canévet, C Jose, F Fleuret
International Conference on Machine Learning, 1454-1462, 2016
272016
Multi-scale sequential network for semantic text segmentation and localization
M Villamizar, O Canevet, JM Odobez
Pattern Recognition Letters 129, 63-69, 2020
212020
Residual pose: A decoupled approach for depth-based 3D human pose estimation
A Martínez-González, M Villamizar, O Canévet, JM Odobez
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
162020
Large scale hard sample mining with monte carlo tree search
O Canévet, F Fleuret
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
162016
Investigating depth domain adaptation for efficient human pose estimation
A Martínez-González, M Villamizar, O Canévet, JM Odobez
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
132018
Watchnet: Efficient and depth-based network for people detection in video surveillance systems
M Villamizar, A Martínez-González, O Canévet, JM Odobez
2018 15th IEEE International conference on advanced video and signal based …, 2018
122018
Leveraging convolutional pose machines for fast and accurate head pose estimation
Y Cao, O Canévet, JM Odobez
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
112018
Supervised re-segmentation for very high-resolution satellite images
J Michel, M Grizonnet, O Canévet
2012 IEEE International Geoscience and Remote Sensing Symposium, 68-71, 2012
82012
Real-time convolutional networks for depth-based human pose estimation. In 2018 IEEE
A Martınez-González, M Villamizar, O Canévet, JM Odobez
RSJ International Conference on Intelligent Robots and Systems, IROS 2018, 2018
62018
WatchNet++: Efficient and accurate depth-based network for detecting people attacks and intrusion
M Villamizar, A Martínez-González, O Canévet, JM Odobez
Machine Vision and Applications 31 (6), 41, 2020
52020
UNICITY: A depth maps database for people detection in security airlocks
J Dumoulin, O Canévet, M Villamizar, H Nunes, O Abou Khaled, ...
2018 15th IEEE International Conference on Advanced Video and Signal Based …, 2018
52018
Sample distillation for object detection and image classification
O Canévet, L Lefakis, F Fleuret
Asian Conference on Machine Learning, 64-79, 2015
42015
The MuMMER data set for robot perception in multi-party HRI scenarios
O Canévet, W He, P Motlicek, JM Odobez
2020 29th IEEE International Conference on Robot and Human Interactive …, 2020
22020
2020 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 30
A Abbas, S Abdulwahab, B Adsumilli, S Agaian, V Aggarwal, L Agostini, ...
IEEE Transactions on Circuits and Systems for Video Technology 30 (12), 2020
2020
UNICITY
J Dumoulin, O Canévet, M Villamizar, H Nunes, O Abou Khaled, ...
Proceedings of the 15th IEEE International Conference on Advanced Video and …, 2018
2018
DELIVERABLE D2. 1 AUDIO-VISUAL ALGORITHMS FOR PERSON TRACKING AND CHARACTERIZATION (BASELINE)
JM Odobez, N Lyubova, O Canevet, KF Mora, W He, AM Gonzalez, ...
Methodology 37, 2, 2017
2017
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20